scholarly journals Attitudes towards Participation in a Passive Data Collection Experiment

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6085
Author(s):  
Bence Ságvári ◽  
Attila Gulyás ◽  
Júlia Koltai
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Online Survey ◽  
User Participation ◽  
Sensor Data ◽  
Smart Devices ◽  
Future Research ◽  
General Level ◽  
Willingness To Participate ◽  
Passive Data

In this paper, we present the results of an exploratory study conducted in Hungary using a factorial design-based online survey to explore the willingness to participate in a future research project based on active and passive data collection via smartphones. Recently, the improvement of smart devices has enabled the collection of behavioural data on a previously unimaginable scale. However, the willingness to share this data is a key issue for the social sciences and often proves to be the biggest obstacle to conducting research. In this paper we use vignettes to test different (hypothetical) study settings that involve sensor data collection but differ in the organizer of the research, the purpose of the study and the type of collected data, the duration of data sharing, the number of incentives and the ability to suspend and review the collection of data. Besides the demographic profile of respondents, we also include behavioural and attitudinal variables to the models. Our results show that the content and context of the data collection significantly changes people’s willingness to participate, however their basic demographic characteristics (apart from age) and general level of trust seem to have no significant effect. This study is a first step in a larger project that involves the development of a complex smartphone-based research tool for hybrid (active and passive) data collection. The results presented in this paper help improve our experimental design to encourage participation by minimizing data sharing concerns and maximizing user participation and motivation.

scholarly journals Investigating Knowledge Acquisition among Faculty Members

10.28945/3940 ◽  
2018 ◽  
Vol 13 ◽  
pp. 001-020
Author(s):  
Abdoulaye Kaba ◽  
Chennupati K. Ramaiah
Keyword(s):  
Data Collection ◽  
Knowledge Acquisition ◽  
Online Survey ◽  
Statistical Tests ◽  
Faculty Members ◽  
Future Research ◽  
Knowledge Sources ◽  
Gcc Countries ◽  
Significant Difference ◽  
Use Of Knowledge

Aim/Purpose: This study investigates the issue of knowledge acquisition among faculty members. Background: The paper reports the use of knowledge acquisition tools and reading knowledge sources by faculty members. It also identifies demographic differ-ences among participants in using knowledge acquisition tools and reading knowledge sources. Methodology: The study used an online survey-based questionnaire tool for data collection. The participants consisted of 300 faculty members from 26 academic institu-tions in UAE. Statistical tests are used to verify and validate the hypotheses. Contribution: The paper represents one of the few empirical studies conducted on knowledge acquisition among faculty members in the GCC countries. Find-ings of the study may contribute to the theoretical and practical understanding of knowledge acquisition among faculty members. Findings: Findings of the study revealed that medical faculty members read knowledge acquisition sources more than other faculty members. Likewise, IT faculty members use knowledge acquisition tools more than other faculty members. Results of the study supported stage three of knowledge acquisition proposed in the “Stage Theory of Knowledge Consumption Growth” (Mathew, 1985). The study found that journals are the most sources read by the participants while web-based training (WBT) tools are the most used knowledge acquisition tools among faculty members. Results of the study indicated significant differ-ences among faculty members of different age groups, academic ranks, aca-demic specializations, and institutional affiliation in reading knowledge sources. Likewise, findings of the study revealed significant difference among partici-pants of different academic specializations in using knowledge acquisition tools. Recommendations for Practitioners: Results of the study could be extrapolated to other faculty members in the GCC countries. Recommendation for Researchers: More researches could be done to address different issues of knowledge acquisition among faculty members. Impact on Society: Faculty reading of knowledge sources and use of knowledge acquisition tools may have direct or indirect positive impacts on innovation, creativity, and re-search productivity in any society. Future Research: It will be interesting to apply more than one data collection method in the future research.

In-Home Passive Sensor Data Collection and Its Implications for Social Media Research: Perspectives of Community Women in Rural South Africa

2019 ◽  
Vol 15 (1-2) ◽  
pp. 97-107 ◽  
Author(s):  
Alastair van Heerden ◽  
Doug Wassenaar ◽  
Zaynab Essack ◽  
Khanya Vilakazi ◽  
Brandon A. Kohrt
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Big Data Analytics ◽  
Sensor Data ◽  
Willingness To Participate ◽  
Ethics Framework ◽  
Research Perspectives ◽  
Media Research ◽  
Passive Sensor ◽  
Social Media Research

There has been a recent increase in debates on the ethics of social media research, passive sensor data collection, and big data analytics. However, little evidence exists to describe how people experience and understand these applications of technology. This study aimed to passively collect data from mobile phone sensors, lapel cameras, and Bluetooth beacons to assess people’s understanding and acceptance of these technologies. Seven households were purposefully sampled and data collected for 10 days. The study generated 48 hr of audio data and 30,000 images. After participant review, the data were destroyed and in-depth interviews conducted. Participants found the data collected acceptable and reported willingness to participate in similar studies. Key risks included that the camera could capture nudity and sex acts, but family review of footage before sharing helped reduce concerns. The Emanuel et al. ethics framework was found to accommodate the concerns and perspectives of study participants.

scholarly journals Saudi Viewers’ Perceptions of Attack on Titan Japanese Animation Online Series

2021 ◽  
Vol 18 (1) ◽  
pp. 65
Author(s):  
Afnan Qutub ◽  
Merfat Alardawi
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Facial Expression ◽  
Hypothesis Testing ◽  
Quantitative Study ◽  
Online Survey ◽  
Future Research ◽  
Male Characters ◽  
Tone Of Voice ◽  
Japanese Animation

This quantitative study examines Saudi viewers’ perceptions of the Japanese anime Attack on Titan. Data collection was undertaken by means of an online survey of 346 viewers of the animation, aged between fourteen and thirty-eight. The results indicated that the most popular characters were Levi, Eren, and Mikasa, with the least liked being the Armorer Titan, the Female Titan, Sasha, and Christa. The research found that the participants were attracted to scenes including fights between human and Titans, flying blood, and dialogue. The viewers expressed an interest in the unique scenario of the series, as well as each character’s tone of voice and facial expression. Finally, the hypothesis testing (Ho) of viewers’ tendency to like characters based on gender was accepted as confirmed by the 2-tail test (.042), i.e. the participants tended to prefer male characters. This study recommends that future research applies content analysis to provide further insights into the reasons behind the identified preference for male characters.

scholarly journals Pavement Management Utilizing Mobile Crowd Sensing

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Boquan Tian ◽  
Yongbo Yuan ◽  
Hengyu Zhou ◽  
Zhen Yang
Keyword(s):  
Data Collection ◽  
Inertial Sensor ◽  
Pavement Management ◽  
Sensor Data ◽  
Smart Devices ◽  
Smart Device ◽  
Road Transportation ◽  
Mobile Crowd Sensing ◽  
Crowd Sensing ◽  
Mobile Crowd

Pavement management, which is vital in road transportation and maintenance, is facing some troubles, such as high costs of labors and machineries, low detecting efficiency, and low update rate of pavement conditions by means of traditional detection ways. Benefiting from the development of mobile communication, mobile computing, and mobile sensing techniques, the intelligence of mobile crowd sensing (MCS), which mainly relies on ubiquitous mobile smart devices in people’s daily lives, has overcome the above drawbacks to a large extent as one new effective and simple measure for pavement management. As a platform for data collection, processing, and visualization, a common smart device can utilize inertial sensor data, photos, videos, subjective reports, and location information to involve the public in pavement anomalies detection. This paper systematically reviewed the studies in this field from 2008 to 2018 to establish an overall knowledge. Through literature collection and screening, a database of studies was set up for analysis. As a result, the year profile of publications and distribution of research areas indicate that there has been a constant attention from researchers in various disciplines. Meanwhile, the distribution of research topic shows that inertial sensors embedded in smartphones have been the most popular data source. Therefore, the process of pavement anomalies detection based on inertial data was reviewed in detail, including preparatory, data collection, and processing phases of the previous experiments. However, some of the key issues in the experimental phases were investigated by previous studies, while some other challenges were not tackled or noticed. Hence, the challenges in both experiment and implementation stages were discussed to improve the studies and practice. Furthermore, several directions for future research are summarized from the main issues and challenges to offer potential opportunities for more relevant research studies and applications in pavement management.

scholarly journals Suspicious and fraudulent online survey participation: Introducing the REAL framework

2021 ◽  
Vol 14 (3) ◽  
pp. 205979912110504
Author(s):  
Jennifer Lawlor ◽  
Carl Thomas ◽  
Andrew T Guhin ◽  
Kendra Kenyon ◽  
Matthew D Lerner ◽  
...  
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Survey Research ◽  
Survey Data ◽  
Online Survey ◽  
Ethical Issues ◽  
Future Research ◽  
Data Collection And Analysis ◽  
Survey Participation ◽  
Guiding Questions

Online survey research has significantly increased in popularity in recent years. With its use, researchers have a new set of concerns about data collection and analysis to consider, including the possibility of fraudulent survey submissions. The purpose of this article is to demonstrate to survey researchers an innovative and systematized process for addressing online survey fraud over the course of collecting survey data, especially when respondents collect incentives for participation. We provide the Reflect, Expect, Analyze, Label Framework, which includes four sets of guiding questions for use by online survey researchers to plan for addressing survey fraud and making determinations about the inclusion or exclusion of participant submissions from the dataset based on level of suspicion. We also provide a full case example utilizing the Reflect, Expect, Analyze, Label Framework as an appendix. Those wanting to apply the Reflect, Expect, Analyze, Label Framework should keep in mind several considerations as they apply it, including determining logistical needs ahead of survey implementation, considering the ethical issues related to including or excluding data in a study, and considering the issues related to providing incentives for participating in research. Future research should assess the frequency of survey fraud, investigate the reasons for its occurrence and explore the role social networks may play in fraudulent participants sharing information. We suggest that researchers consider online survey fraud as an issue over the lifespan of their survey and apply the guiding questions we present to address the issue throughout.

Current Postvention Research and Priorities for the Future

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 202-206 ◽  
Author(s):  
Karl Andriessen ◽  
Dolores Angela Castelli Dransart ◽  
Julie Cerel ◽  
Myfanwy Maple
Keyword(s):  
Social Life ◽  
Online Survey ◽  
Research Priorities ◽  
Future Research ◽  
Physical And Mental Health ◽  
Intercultural Collaboration ◽  
The Social ◽  
The Future ◽  
Suicide Bereavement ◽  
Ethical Approval

Abstract. Background: Suicide can have a lasting impact on the social life as well as the physical and mental health of the bereaved. Targeted research is needed to better understand the nature of suicide bereavement and the effectiveness of support. Aims: To take stock of ongoing studies, and to inquire about future research priorities regarding suicide bereavement and postvention. Method: In March 2015, an online survey was widely disseminated in the suicidology community. Results: The questionnaire was accessed 77 times, and 22 records were included in the analysis. The respondents provided valuable information regarding current research projects and recommendations for the future. Limitations: Bearing in mind the modest number of replies, all from respondents in Westernized countries, it is not known how representative the findings are. Conclusion: The survey generated three strategies for future postvention research: increase intercultural collaboration, increase theory-driven research, and build bonds between research and practice. Future surveys should include experiences with obtaining research grants and ethical approval for postvention studies.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

Feeling Threatened by Immigrants: The Role of Ideology and Subjective Societal Status

2020 ◽  
Author(s):  
Michael Bollwerk ◽  
Bernd Schlipphak ◽  
Joscha Stecker ◽  
Jens Hellmann ◽  
Gerald Echterhoff ◽  
...  
Keyword(s):  
Online Survey ◽  
Middle Eastern ◽  
Social Dominance Orientation ◽  
Survey Study ◽  
Future Research ◽  
Right Wing Authoritarianism ◽  
Threat Perceptions ◽  
Contextual Determinants ◽  
Intergroup Conflicts ◽  
And Gender

Threat perceptions towards immigrants continue to gain importance in the context of growing international migration. To reduce associated intergroup conflicts, it is crucial to understand the personal and contextual determinants of perceived threat. In a large online survey study (N = 1,184), we investigated the effects of ideology (i.e., Right-Wing Authoritarianism and Social Dominance Orientation), subjective societal status (SSS) and their interaction effects in predicting symbolic and realistic threat perceptions towards Middle Eastern immigrants. Results showed that ideology (higher RWA and SDO) and lower SSS significantly predicted both symbolic and realistic threat, even after controlling for income, education, age, and gender. Furthermore, ideology and SSS interacted significantly in predicting realistic threat, with higher levels of SDO and RWA enhancing the effect of SSS. In the discussion, we focus on the implications of our findings with respect to understanding societal conflicts, discuss methodological limitations, and provide directions for future research.

AN EXPLORATION OF GENDER DIFFERENCES IN TEENAGERS’ USE, CONSUMPTION AND DIGITAL PRODUCTION

2020 ◽  
Author(s):  
Corina-Maricica Seserman ◽  
Daniela Cojocaru
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Data Collection ◽  
Gender Identity ◽  
Online Survey ◽  
Peer Group ◽  
Methodological Approach ◽  
Digital Content ◽  
Media Consumption ◽  
The Way

Today’s teenagers have a very close relationship with ICTs and the digital space related to them, as they have impacted the way the youth constructs their sense of self and the tools they use to perform their carefully constructed identity. One key element which influences the way one constructs their views by themselves is within the boundaries set by their biological sex and therefore through the behaviors associated with their asigned gender. Through the symbolic interactionist lense, or more specifically through Goffman's dramaturgical theory on the manner in which one presents him/herself in society, this paper looks at the manner in which teenagers use social media platforms and at the way they consume and create digital content in order to present their gender identity. The way teenagers consume and produce digital content differs and depends on how they interpret their ideals of femininity and masculinity, which are afterwards reproduced in the content they post on their social media pages. Therefore this research is an attempt to understand what are the factors teenagers take in account when consuming and producing content. What gender differences can be observed in regards to new media consumption? What difference can be observed in online activity behaviors between males and females? How do they feel about their gender identity concerning fitting in with their peer group? A mix-methodological approach was engaged in the data collection process. In the first stage of the research highschool students (n=324) from the city of Suceava (Romania) participated in taking an online survey. The initial intent was to meet with the young respondents in person, but due to the COVID-19 pandemic this was deemed impossible. For the second stage of data collection, six of the participants who took the online survey were invited to participate in a focus group designed to grasp a better understanding of the results from the previous stage. The discovered findings uncover engaging gender similarities and differences in social media consumption and the type, subject, matter and style in which they posted their content, but also in regards to the performance of the self between the online and offline space.

An Experimental Test of the Effects of a Monetary Incentive on Cooperation Rates and Data Collection Costs in Central-Location Interviewing

1983 ◽  
Vol 20 (4) ◽  
pp. 439-442 ◽  
Author(s):  
Frederick Wiseman ◽  
Marianne Schafer ◽  
Richard Schafer
Keyword(s):  
Experimental Study ◽  
Data Collection ◽  
Experimental Test ◽  
Monetary Incentive ◽  
Willingness To Participate ◽  
Central Location ◽  
The Cost ◽  
Collection Costs

The authors describe an experimental study designed to determine the effects of a monetary incentive on (1) a potential respondent's decision to participate in a central-location interview, (2) that person's expressed willingness to participate in a future survey, and (3) the cost of data collection.

Sign in / Sign up

Export Citation Format

Share Document